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Authors: Ivo J. P. M. Timoteo and Sean B. Holden

Affiliation: University of Cambridge, United Kingdom

ISBN: 978-989-758-077-2

Keyword(s): Graphical Models, Local Search, Bioinformatics Application.

Related Ontology Subjects/Areas/Topics: Applications ; Bioinformatics and Systems Biology ; Graphical and Graph-Based Models ; Pattern Recognition ; Software Engineering ; Theory and Methods

Abstract: We propose a local search approach for learning dynamic systems from time-series data, using networks of differential equations as the underlying model. We evaluate the performance of our approach for two scenarios: first, by comparing with an l1-regularization approach under the assumption of a uniformly weighted network for identifying systems of masses and springs; and then on the task of learning gene regulatory networks, where we compare it with the best performers in the DREAM4 challenge using the original dataset for that challenge. Our method consistently improves on the performance of the other methods considered in both scenarios.

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Paper citation in several formats:
J. P. M. Timoteo, I. and B. Holden, S. (2015). Learning Dynamic Systems from Time-series Data - An Application to Gene Regulatory Networks.In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-758-077-2, pages 324-332. DOI: 10.5220/0005282303240332

@conference{icpram15,
author={Ivo J. P. M. Timoteo. and Sean B. Holden.},
title={Learning Dynamic Systems from Time-series Data - An Application to Gene Regulatory Networks},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2015},
pages={324-332},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005282303240332},
isbn={978-989-758-077-2},
}

TY - CONF

JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - Learning Dynamic Systems from Time-series Data - An Application to Gene Regulatory Networks
SN - 978-989-758-077-2
AU - J. P. M. Timoteo, I.
AU - B. Holden, S.
PY - 2015
SP - 324
EP - 332
DO - 10.5220/0005282303240332

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